Dataset statistics
| Number of variables | 9 |
|---|---|
| Number of observations | 768 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 54.1 KiB |
| Average record size in memory | 72.2 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 1 |
Pregnancies is highly correlated with Age | High correlation |
SkinThickness is highly correlated with BMI | High correlation |
BMI is highly correlated with SkinThickness | High correlation |
Age is highly correlated with Pregnancies | High correlation |
Pregnancies is highly correlated with Age | High correlation |
SkinThickness is highly correlated with BMI | High correlation |
BMI is highly correlated with SkinThickness | High correlation |
Age is highly correlated with Pregnancies | High correlation |
Pregnancies is highly correlated with Age | High correlation |
Glucose is highly correlated with Outcome | High correlation |
BloodPressure is highly correlated with BMI | High correlation |
SkinThickness is highly correlated with BMI | High correlation |
BMI is highly correlated with BloodPressure and 2 other fields | High correlation |
DiabetesPedigreeFunction is highly correlated with BMI | High correlation |
Age is highly correlated with Pregnancies | High correlation |
Outcome is highly correlated with Glucose | High correlation |
Pregnancies has 111 (14.5%) zeros | Zeros |
Reproduction
| Analysis started | 2022-09-17 18:19:02.329908 |
|---|---|
| Analysis finished | 2022-09-17 18:19:36.969937 |
| Duration | 34.64 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 17 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.845052083 |
| Minimum | 0 |
|---|---|
| Maximum | 17 |
| Zeros | 111 |
| Zeros (%) | 14.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 6 |
| 95-th percentile | 10 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.369578063 |
|---|---|
| Coefficient of variation (CV) | 0.8763413316 |
| Kurtosis | 0.1592197775 |
| Mean | 3.845052083 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.9016739792 |
| Sum | 2953 |
| Variance | 11.35405632 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 1 | 135 | |
| 0 | 111 | |
| 2 | 103 | |
| 3 | 75 | |
| 4 | 68 | |
| 5 | 57 | |
| 6 | 50 | 6.5% |
| 7 | 45 | 5.9% |
| 8 | 38 | 4.9% |
| 9 | 28 | 3.6% |
| Other values (7) | 58 |
| Value | Count | Frequency (%) |
| 0 | 111 | |
| 1 | 135 | |
| 2 | 103 | |
| 3 | 75 | |
| 4 | 68 | |
| 5 | 57 | |
| 6 | 50 | 6.5% |
| 7 | 45 | 5.9% |
| 8 | 38 | 4.9% |
| 9 | 28 | 3.6% |
| Value | Count | Frequency (%) |
| 17 | 1 | 0.1% |
| 15 | 1 | 0.1% |
| 14 | 2 | 0.3% |
| 13 | 10 | 1.3% |
| 12 | 9 | 1.2% |
| 11 | 11 | 1.4% |
| 10 | 24 | |
| 9 | 28 | |
| 8 | 38 | |
| 7 | 45 |
| Distinct | 136 |
|---|---|
| Distinct (%) | 17.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 121.681605 |
| Minimum | 44 |
|---|---|
| Maximum | 199 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 44 |
|---|---|
| 5-th percentile | 80 |
| Q1 | 99.75 |
| median | 117 |
| Q3 | 140.25 |
| 95-th percentile | 181 |
| Maximum | 199 |
| Range | 155 |
| Interquartile range (IQR) | 40.5 |
Descriptive statistics
| Standard deviation | 30.43601564 |
|---|---|
| Coefficient of variation (CV) | 0.2501283217 |
| Kurtosis | -0.2588195957 |
| Mean | 121.681605 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | 0.5332247527 |
| Sum | 93451.47266 |
| Variance | 926.3510483 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 99 | 17 | 2.2% |
| 100 | 17 | 2.2% |
| 111 | 14 | 1.8% |
| 129 | 14 | 1.8% |
| 125 | 14 | 1.8% |
| 106 | 14 | 1.8% |
| 112 | 13 | 1.7% |
| 108 | 13 | 1.7% |
| 95 | 13 | 1.7% |
| 105 | 13 | 1.7% |
| Other values (126) | 626 |
| Value | Count | Frequency (%) |
| 44 | 1 | 0.1% |
| 56 | 1 | 0.1% |
| 57 | 2 | |
| 61 | 1 | 0.1% |
| 62 | 1 | 0.1% |
| 65 | 1 | 0.1% |
| 67 | 1 | 0.1% |
| 68 | 3 | |
| 71 | 4 | |
| 72 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 199 | 1 | 0.1% |
| 198 | 1 | 0.1% |
| 197 | 4 | |
| 196 | 3 | |
| 195 | 2 | |
| 194 | 3 | |
| 193 | 2 | |
| 191 | 1 | 0.1% |
| 190 | 1 | 0.1% |
| 189 | 4 |
| Distinct | 47 |
|---|---|
| Distinct (%) | 6.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 72.25480652 |
| Minimum | 24 |
|---|---|
| Maximum | 122 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 24 |
|---|---|
| 5-th percentile | 52 |
| Q1 | 64 |
| median | 72 |
| Q3 | 80 |
| 95-th percentile | 90 |
| Maximum | 122 |
| Range | 98 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 12.1159316 |
|---|---|
| Coefficient of variation (CV) | 0.1676833997 |
| Kurtosis | 1.079233365 |
| Mean | 72.25480652 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.1730502132 |
| Sum | 55491.69141 |
| Variance | 146.7957985 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=47)
| Value | Count | Frequency (%) |
| 70 | 57 | 7.4% |
| 74 | 52 | 6.8% |
| 78 | 45 | 5.9% |
| 68 | 45 | 5.9% |
| 72 | 44 | 5.7% |
| 64 | 43 | 5.6% |
| 80 | 40 | 5.2% |
| 76 | 39 | 5.1% |
| 60 | 37 | 4.8% |
| 69.10546875 | 35 | 4.6% |
| Other values (37) | 331 |
| Value | Count | Frequency (%) |
| 24 | 1 | 0.1% |
| 30 | 2 | 0.3% |
| 38 | 1 | 0.1% |
| 40 | 1 | 0.1% |
| 44 | 4 | 0.5% |
| 46 | 2 | 0.3% |
| 48 | 5 | 0.7% |
| 50 | 13 | |
| 52 | 11 | |
| 54 | 11 |
| Value | Count | Frequency (%) |
| 122 | 1 | 0.1% |
| 114 | 1 | 0.1% |
| 110 | 3 | |
| 108 | 2 | |
| 106 | 3 | |
| 104 | 2 | |
| 102 | 1 | 0.1% |
| 100 | 3 | |
| 98 | 3 | |
| 96 | 4 |
| Distinct | 51 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.60647922 |
| Minimum | 7 |
|---|---|
| Maximum | 99 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 14.35 |
| Q1 | 20.53645833 |
| median | 23 |
| Q3 | 32 |
| 95-th percentile | 44 |
| Maximum | 99 |
| Range | 92 |
| Interquartile range (IQR) | 11.46354167 |
Descriptive statistics
| Standard deviation | 9.631240711 |
|---|---|
| Coefficient of variation (CV) | 0.3619885454 |
| Kurtosis | 3.904657462 |
| Mean | 26.60647922 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 1.226669961 |
| Sum | 20433.77604 |
| Variance | 92.76079763 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20.53645833 | 227 | |
| 32 | 31 | 4.0% |
| 30 | 27 | 3.5% |
| 27 | 23 | 3.0% |
| 23 | 22 | 2.9% |
| 33 | 20 | 2.6% |
| 28 | 20 | 2.6% |
| 18 | 20 | 2.6% |
| 31 | 19 | 2.5% |
| 19 | 18 | 2.3% |
| Other values (41) | 341 |
| Value | Count | Frequency (%) |
| 7 | 2 | 0.3% |
| 8 | 2 | 0.3% |
| 10 | 5 | 0.7% |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 14 |
| Value | Count | Frequency (%) |
| 99 | 1 | 0.1% |
| 63 | 1 | 0.1% |
| 60 | 1 | 0.1% |
| 56 | 1 | 0.1% |
| 54 | 2 | |
| 52 | 2 | |
| 51 | 1 | 0.1% |
| 50 | 3 | |
| 49 | 3 | |
| 48 | 4 |
Insulin
Real number (ℝ≥0)
| Distinct | 186 |
|---|---|
| Distinct (%) | 24.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 118.660163 |
| Minimum | 14 |
|---|---|
| Maximum | 846 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 14 |
|---|---|
| 5-th percentile | 50 |
| Q1 | 79.79947917 |
| median | 79.79947917 |
| Q3 | 127.25 |
| 95-th percentile | 293 |
| Maximum | 846 |
| Range | 832 |
| Interquartile range (IQR) | 47.45052083 |
Descriptive statistics
| Standard deviation | 93.08035765 |
|---|---|
| Coefficient of variation (CV) | 0.7844280277 |
| Kurtosis | 14.14170435 |
| Mean | 118.660163 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 3.291825025 |
| Sum | 91131.00521 |
| Variance | 8663.952981 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 79.79947917 | 374 | |
| 105 | 11 | 1.4% |
| 130 | 9 | 1.2% |
| 140 | 9 | 1.2% |
| 120 | 8 | 1.0% |
| 94 | 7 | 0.9% |
| 180 | 7 | 0.9% |
| 100 | 7 | 0.9% |
| 135 | 6 | 0.8% |
| 115 | 6 | 0.8% |
| Other values (176) | 324 |
| Value | Count | Frequency (%) |
| 14 | 1 | 0.1% |
| 15 | 1 | 0.1% |
| 16 | 1 | 0.1% |
| 18 | 2 | |
| 22 | 1 | 0.1% |
| 23 | 2 | |
| 25 | 1 | 0.1% |
| 29 | 1 | 0.1% |
| 32 | 1 | 0.1% |
| 36 | 3 |
| Value | Count | Frequency (%) |
| 846 | 1 | |
| 744 | 1 | |
| 680 | 1 | |
| 600 | 1 | |
| 579 | 1 | |
| 545 | 1 | |
| 543 | 1 | |
| 540 | 1 | |
| 510 | 1 | |
| 495 | 2 |
| Distinct | 248 |
|---|---|
| Distinct (%) | 32.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32.45080516 |
| Minimum | 18.2 |
|---|---|
| Maximum | 67.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 18.2 |
|---|---|
| 5-th percentile | 22.235 |
| Q1 | 27.5 |
| median | 32 |
| Q3 | 36.6 |
| 95-th percentile | 44.395 |
| Maximum | 67.1 |
| Range | 48.9 |
| Interquartile range (IQR) | 9.1 |
Descriptive statistics
| Standard deviation | 6.875373507 |
|---|---|
| Coefficient of variation (CV) | 0.21187066 |
| Kurtosis | 0.9213175059 |
| Mean | 32.45080516 |
| Median Absolute Deviation (MAD) | 4.5 |
| Skewness | 0.6011031773 |
| Sum | 24922.21836 |
| Variance | 47.27076087 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 32 | 13 | 1.7% |
| 31.6 | 12 | 1.6% |
| 31.2 | 12 | 1.6% |
| 31.99257812 | 11 | 1.4% |
| 32.4 | 10 | 1.3% |
| 33.3 | 10 | 1.3% |
| 30.1 | 9 | 1.2% |
| 32.8 | 9 | 1.2% |
| 32.9 | 9 | 1.2% |
| 30.8 | 9 | 1.2% |
| Other values (238) | 664 |
| Value | Count | Frequency (%) |
| 18.2 | 3 | |
| 18.4 | 1 | 0.1% |
| 19.1 | 1 | 0.1% |
| 19.3 | 1 | 0.1% |
| 19.4 | 1 | 0.1% |
| 19.5 | 2 | |
| 19.6 | 3 | |
| 19.9 | 1 | 0.1% |
| 20 | 1 | 0.1% |
| 20.1 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 67.1 | 1 | |
| 59.4 | 1 | |
| 57.3 | 1 | |
| 55 | 1 | |
| 53.2 | 1 | |
| 52.9 | 1 | |
| 52.3 | 2 | |
| 50 | 1 | |
| 49.7 | 1 | |
| 49.6 | 1 |
| Distinct | 517 |
|---|---|
| Distinct (%) | 67.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4718763021 |
| Minimum | 0.078 |
|---|---|
| Maximum | 2.42 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 0.078 |
|---|---|
| 5-th percentile | 0.14035 |
| Q1 | 0.24375 |
| median | 0.3725 |
| Q3 | 0.62625 |
| 95-th percentile | 1.13285 |
| Maximum | 2.42 |
| Range | 2.342 |
| Interquartile range (IQR) | 0.3825 |
Descriptive statistics
| Standard deviation | 0.331328595 |
|---|---|
| Coefficient of variation (CV) | 0.7021513764 |
| Kurtosis | 5.594953528 |
| Mean | 0.4718763021 |
| Median Absolute Deviation (MAD) | 0.1675 |
| Skewness | 1.919911066 |
| Sum | 362.401 |
| Variance | 0.1097786379 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.258 | 6 | 0.8% |
| 0.254 | 6 | 0.8% |
| 0.268 | 5 | 0.7% |
| 0.207 | 5 | 0.7% |
| 0.261 | 5 | 0.7% |
| 0.259 | 5 | 0.7% |
| 0.238 | 5 | 0.7% |
| 0.19 | 4 | 0.5% |
| 0.263 | 4 | 0.5% |
| 0.299 | 4 | 0.5% |
| Other values (507) | 719 |
| Value | Count | Frequency (%) |
| 0.078 | 1 | |
| 0.084 | 1 | |
| 0.085 | 2 | |
| 0.088 | 2 | |
| 0.089 | 1 | |
| 0.092 | 1 | |
| 0.096 | 1 | |
| 0.1 | 1 | |
| 0.101 | 1 | |
| 0.102 | 1 |
| Value | Count | Frequency (%) |
| 2.42 | 1 | |
| 2.329 | 1 | |
| 2.288 | 1 | |
| 2.137 | 1 | |
| 1.893 | 1 | |
| 1.781 | 1 | |
| 1.731 | 1 | |
| 1.699 | 1 | |
| 1.698 | 1 | |
| 1.6 | 1 |
| Distinct | 52 |
|---|---|
| Distinct (%) | 6.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 33.24088542 |
| Minimum | 21 |
|---|---|
| Maximum | 81 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.1 KiB |
Quantile statistics
| Minimum | 21 |
|---|---|
| 5-th percentile | 21 |
| Q1 | 24 |
| median | 29 |
| Q3 | 41 |
| 95-th percentile | 58 |
| Maximum | 81 |
| Range | 60 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 11.76023154 |
|---|---|
| Coefficient of variation (CV) | 0.3537881556 |
| Kurtosis | 0.6431588885 |
| Mean | 33.24088542 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 1.129596701 |
| Sum | 25529 |
| Variance | 138.3030459 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 22 | 72 | 9.4% |
| 21 | 63 | 8.2% |
| 25 | 48 | 6.2% |
| 24 | 46 | 6.0% |
| 23 | 38 | 4.9% |
| 28 | 35 | 4.6% |
| 26 | 33 | 4.3% |
| 27 | 32 | 4.2% |
| 29 | 29 | 3.8% |
| 31 | 24 | 3.1% |
| Other values (42) | 348 |
| Value | Count | Frequency (%) |
| 21 | 63 | |
| 22 | 72 | |
| 23 | 38 | |
| 24 | 46 | |
| 25 | 48 | |
| 26 | 33 | |
| 27 | 32 | |
| 28 | 35 | |
| 29 | 29 | |
| 30 | 21 | 2.7% |
| Value | Count | Frequency (%) |
| 81 | 1 | 0.1% |
| 72 | 1 | 0.1% |
| 70 | 1 | 0.1% |
| 69 | 2 | |
| 68 | 1 | 0.1% |
| 67 | 3 | |
| 66 | 4 | |
| 65 | 3 | |
| 64 | 1 | 0.1% |
| 63 | 4 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 768 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 268 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 268 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 268 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 768 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 268 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 768 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 268 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 768 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 500 | |
| 1 | 268 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Pregnancies | Glucose | BloodPressure | SkinThickness | Insulin | BMI | DiabetesPedigreeFunction | Age | Outcome | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 6 | 148.0 | 72.000000 | 35.000000 | 79.799479 | 33.600000 | 0.627 | 50 | 1 |
| 1 | 1 | 85.0 | 66.000000 | 29.000000 | 79.799479 | 26.600000 | 0.351 | 31 | 0 |
| 2 | 8 | 183.0 | 64.000000 | 20.536458 | 79.799479 | 23.300000 | 0.672 | 32 | 1 |
| 3 | 1 | 89.0 | 66.000000 | 23.000000 | 94.000000 | 28.100000 | 0.167 | 21 | 0 |
| 4 | 0 | 137.0 | 40.000000 | 35.000000 | 168.000000 | 43.100000 | 2.288 | 33 | 1 |
| 5 | 5 | 116.0 | 74.000000 | 20.536458 | 79.799479 | 25.600000 | 0.201 | 30 | 0 |
| 6 | 3 | 78.0 | 50.000000 | 32.000000 | 88.000000 | 31.000000 | 0.248 | 26 | 1 |
| 7 | 10 | 115.0 | 69.105469 | 20.536458 | 79.799479 | 35.300000 | 0.134 | 29 | 0 |
| 8 | 2 | 197.0 | 70.000000 | 45.000000 | 543.000000 | 30.500000 | 0.158 | 53 | 1 |
| 9 | 8 | 125.0 | 96.000000 | 20.536458 | 79.799479 | 31.992578 | 0.232 | 54 | 1 |
Last rows
| Pregnancies | Glucose | BloodPressure | SkinThickness | Insulin | BMI | DiabetesPedigreeFunction | Age | Outcome | |
|---|---|---|---|---|---|---|---|---|---|
| 758 | 1 | 106.0 | 76.0 | 20.536458 | 79.799479 | 37.5 | 0.197 | 26 | 0 |
| 759 | 6 | 190.0 | 92.0 | 20.536458 | 79.799479 | 35.5 | 0.278 | 66 | 1 |
| 760 | 2 | 88.0 | 58.0 | 26.000000 | 16.000000 | 28.4 | 0.766 | 22 | 0 |
| 761 | 9 | 170.0 | 74.0 | 31.000000 | 79.799479 | 44.0 | 0.403 | 43 | 1 |
| 762 | 9 | 89.0 | 62.0 | 20.536458 | 79.799479 | 22.5 | 0.142 | 33 | 0 |
| 763 | 10 | 101.0 | 76.0 | 48.000000 | 180.000000 | 32.9 | 0.171 | 63 | 0 |
| 764 | 2 | 122.0 | 70.0 | 27.000000 | 79.799479 | 36.8 | 0.340 | 27 | 0 |
| 765 | 5 | 121.0 | 72.0 | 23.000000 | 112.000000 | 26.2 | 0.245 | 30 | 0 |
| 766 | 1 | 126.0 | 60.0 | 20.536458 | 79.799479 | 30.1 | 0.349 | 47 | 1 |
| 767 | 1 | 93.0 | 70.0 | 31.000000 | 79.799479 | 30.4 | 0.315 | 23 | 0 |